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1.Choose all that apply(2). For a cluster sample All subjects have an equally likely chance of...

1.Choose all that apply(2). For a cluster sample

All subjects have an equally likely chance of being selected

Clusters are usually determined by convenience

All subjects will be measured in a selected cluster

Clusters have to be of equal size

An equal number of subjects will be measured in every cluster

unanswered

2.A sampling bias occurs when

The sample is not selected at random

Subjects were influenced to respond a certain way

Subject did not respond

Subjects were given leading questions

3.Choose all that apply(2) for Population parameters.

Are rarely known

Are estimated from sample statistics

Are calculated from samples

Can be found by sampling a large portion of the population

unanswered

You are trying to determine what the best combination of diet and exercise provides the most weight loss. You decided to try three different diets (Atkins, Paleo, McDonalds only), along with no dieting, and two different forms of exercise (Yoga, high cardio), along with no exercise. You try each combination possible, and track weight loss for each. What type of Experimental Design is this?

Completely Randomized Design

Latin Square Design

Completely Randomized Block Design

Factorial Design

unanswered

Solutions

Expert Solution

1.Choose all that apply(2). For a cluster sample

All subjects have an equally likely chance of being selected

Since the clusters are randomly selected the subjects do have an equal chance of being selected.

Clusters are usually determined by convenience

clusters are randomly selected not by convenience.

All subjects will be measured in a selected cluster

By definitiion, when the cluster is selected the testing is done on all the inclusive subjects for one-stage

Clusters have to be of equal size

Not necessarily, they have to pre-determined.

An equal number of subjects will be measured in every cluster

Not necessarily, they have to pre-determined.

unanswered

2.A sampling bias occurs when

The sample is not selected at random

If it is not random, then we can say it is sampling bias because it nfluences the selection of the sample.

Subjects were influenced to respond a certain way

This is bias but not a sampling bias.

Subject did not respond

Subjects were given leading questions

This is bias but not a sampling bias.

3.Choose all that apply(2) for Population parameters.

Are rarely known

It is tedious to get entire population so they are estimated since we do not have complete information.

Are estimated from sample statistics

It is tedious to get entire population so they are estimated since we do not have complete information.

Are calculated from samples

they are estimated

Can be found by sampling a large portion of the population

It is usually 10% of the population but also should not exceed 1000 and then depends on the population.

unanswered

Completely Randomized Design

there is one treatment assigned to every individual with randomised selection.

Latin Square Design

there are arrangement of different treatments to different individuals where no treatment is repeated.

Completely Randomized Block Design

division of subjects into blocks having less variability then the blocks are assigned different treatment conditions.

Factorial Design

there are 2 factors diet nd exercise and their combinations are used in the experiment which is the definition of factorial design.

unanswered

milcah answered 1 month ago

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